The covariance matrix
CORRECTION: At 10:56 we shouldn't divide by 4 to get the covariance, we should divide by 1+1+1+1/3, which is 10/3. That means the covariances are the following:
Var(x) = 1.056
Var(y) = 0.864
Cov(x,y) = 0.768
(Thank you Shivkumar Pippal!)
Mean, variance, covariance, and the covariance matrix for a dataset and a weighted dataset.
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for 6 months and I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=luisserrano&utm_content=description-only
Видео The covariance matrix канала Luis Serrano
Var(x) = 1.056
Var(y) = 0.864
Cov(x,y) = 0.768
(Thank you Shivkumar Pippal!)
Mean, variance, covariance, and the covariance matrix for a dataset and a weighted dataset.
Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for 6 months and I love it! https://www.kite.com/get-kite/?utm_medium=referral&utm_source=youtube&utm_campaign=luisserrano&utm_content=description-only
Видео The covariance matrix канала Luis Serrano
Показать
Комментарии отсутствуют
Информация о видео
Другие видео канала
Principal Component Analysis (PCA)Gaussian Mixture ModelsThe Covariance Matrix : Data Science BasicsEigenvectors and eigenvalues | Chapter 14, Essence of linear algebraWhat is COVARIANCE? What is CORRELATION? Detailed video!Math Has a Fatal FlawHow does Netflix recommend movies? Matrix FactorizationSpecial Topics - The Kalman Filter (19 of 55) What is a Variance-Covariance Matrix?Statistics 101: The Covariance MatrixSingular Value Decomposition (SVD) and Image CompressionThe Problem with Time & Timezones - ComputerphileClustering: K-means and HierarchicalSupport Vector Machines (SVMs): A friendly introductionSpecial Topics - The Kalman Filter (23 of 55) Finding the Covariance Matrix, Numerical ExampleCovariance, Clearly Explained!!!Calculating the Variance Covariance Matrix using stock PricesLatent Dirichlet Allocation (Part 1 of 2)EM algorithm: how it worksThompson sampling, one armed bandits, and the Beta distributionA friendly introduction to Bayes Theorem and Hidden Markov Models